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ID 14188
file
creator
Xu, Bing Hong
Kaneko, Makoto
subject
identification
controll system
neural networks
NDC
Mechanical engineering
abstract
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identification for a class ofcontrolled plants with linear and nonlinear uncertainties. This methoduses a single neural network for both control and identification, and asufficient condition of the local asymptotic stability is derived. Then, inorder to illustrate the applicability of the proposed method, it is applied tothe torque control of a flexible beam that includes linear and nonlinearstructural uncertainties.
journal title
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans
volume
Volume 28
issue
Issue 4
start page
496
end page
505
date of issued
1998
publisher
IEEE
issn
1083-4427
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
relation url
department
Graduate School of Engineering